Cargando…
Genomic prediction with whole-genome sequence data in intensely selected pig lines
BACKGROUND: Early simulations indicated that whole-genome sequence data (WGS) could improve the accuracy of genomic predictions within and across breeds. However, empirical results have been ambiguous so far. Large datasets that capture most of the genomic diversity in a population must be assembled...
Autores principales: | Ros-Freixedes, Roger, Johnsson, Martin, Whalen, Andrew, Chen, Ching-Yi, Valente, Bruno D., Herring, William O., Gorjanc, Gregor, Hickey, John M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9509613/ https://www.ncbi.nlm.nih.gov/pubmed/36153511 http://dx.doi.org/10.1186/s12711-022-00756-0 |
Ejemplares similares
-
Rare and population-specific functional variation across pig lines
por: Ros-Freixedes, Roger, et al.
Publicado: (2022) -
A genome-wide association study for loin depth and muscle pH in pigs from intensely selected purebred lines
por: Desire, Suzanne, et al.
Publicado: (2023) -
Accuracy of whole-genome sequence imputation using hybrid peeling in large pedigreed livestock populations
por: Ros-Freixedes, Roger, et al.
Publicado: (2020) -
Evaluation of sequencing strategies for whole-genome imputation with hybrid peeling
por: Ros-Freixedes, Roger, et al.
Publicado: (2020) -
Genetic variation in recombination rate in the pig
por: Johnsson, Martin, et al.
Publicado: (2021)